Understanding Self-Predictive Learning for Reinforcement Learning

Yunhao Tang, Zhaohan Daniel Guo, Pierre Harvey Richemond, Bernardo Ávila Pires, Yash Chandak, Rémi Munos, Mark Rowland, Mohammad Gheshlaghi Azar, Charline Le Lan, Clare Lyle, András György 0001, Shantanu Thakoor, Will Dabney, Bilal Piot, Daniele Calandriello, Michal Valko. Understanding Self-Predictive Learning for Reinforcement Learning. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 33632-33656, PMLR, 2023. [doi]

@inproceedings{TangGRPCMRALL0T23,
  title = {Understanding Self-Predictive Learning for Reinforcement Learning},
  author = {Yunhao Tang and Zhaohan Daniel Guo and Pierre Harvey Richemond and Bernardo Ávila Pires and Yash Chandak and Rémi Munos and Mark Rowland and Mohammad Gheshlaghi Azar and Charline Le Lan and Clare Lyle and András György 0001 and Shantanu Thakoor and Will Dabney and Bilal Piot and Daniele Calandriello and Michal Valko},
  year = {2023},
  url = {https://proceedings.mlr.press/v202/tang23d.html},
  researchr = {https://researchr.org/publication/TangGRPCMRALL0T23},
  cites = {0},
  citedby = {0},
  pages = {33632-33656},
  booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA},
  editor = {Andreas Krause 0001 and Emma Brunskill and KyungHyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett},
  volume = {202},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}